default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDStatistics and Computing, Volume 32
Volume 32, Number 1, 2022
- Luiza Mihaela Paun
, Dirk Husmeier:
Emulation-accelerated Hamiltonian Monte Carlo algorithms for parameter estimation and uncertainty quantification in differential equation models. 1 - Luis Angel García-Escudero, Agustín Mayo-Íscar, Marco Riani:
Constrained parsimonious model-based clustering. 2 - Hyotae Kim, Athanasios Kottas:
Erlang mixture modeling for Poisson process intensities. 3 - Nathaniel Tomasetti, Catherine S. Forbes, Anastasios Panagiotelis:
Updating Variational Bayes: fast sequential posterior inference. 4 - Gabriel Boisvert-Beaudry, Mylène Bédard:
MALA with annealed proposals: a generalization of locally and globally balanced proposal distributions. 5 - Christophe Dutang, Quentin Guibert:
An explicit split point procedure in model-based trees allowing for a quick fitting of GLM trees and GLM forests. 6 - Yang Liu, Robert J. B. Goudie:
Stochastic approximation cut algorithm for inference in modularized Bayesian models. 7 - Lena Sembach, Jan Pablo Burgard, Volker Schulz:
A Riemannian Newton trust-region method for fitting Gaussian mixture models. 8 - Gabriel Frisch, Jean-Benoist Léger, Yves Grandvalet:
Learning from missing data with the binary latent block model. 9 - Marc Lambert, Silvère Bonnabel, Francis R. Bach:
The recursive variational Gaussian approximation (R-VGA). 10 - Umberto Amato, Anestis Antoniadis, Italia De Feis, Irène Gijbels:
Wavelet-based robust estimation and variable selection in nonparametric additive models. 11 - Juan Kuntz, Francesca R. Crucinio, Adam M. Johansen:
Product-form estimators: exploiting independence to scale up Monte Carlo. 12 - Simon J. Godsill, Yaman Kindap:
Point process simulation of generalised inverse Gaussian processes and estimation of the Jaeger integral. 13 - Flávio B. Gonçalves, Lívia M. Dutra, Roger W. C. Silva:
Exact and computationally efficient Bayesian inference for generalized Markov modulated Poisson processes. 14 - Marcin Jurek, Matthias Katzfuss:
Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering. 15 - Denis Belomestny, Eric Moulines, Sergey Samsonov:
Variance reduction for additive functionals of Markov chains via martingale representations. 16 - Corinne Jones, Vincent Roulet, Zaïd Harchaoui:
Discriminative clustering with representation learning with any ratio of labeled to unlabeled data. 17 - Francesco Denti, Andrea Cappozzo, Francesca Greselin:
Correction to: A two-stage Bayesian semiparametricmodel for novelty detection with robust prior information. 18 - Yaofang Hu, Wanjie Wang, Yi Yu:
Graph matching beyond perfectly-overlapping Erdős-Rényi random graphs. 19 - Jiangqi Wu, Linjie Wen, Peter L. Green, Jinglai Li, Simon Maskell:
Ensemble Kalman filter based sequential Monte Carlo sampler for sequential Bayesian inference. 20 - Andrew Golightly, Chris Sherlock:
Augmented pseudo-marginal Metropolis-Hastings for partially observed diffusion processes. 21 - Theodore Papamarkou, Farzana Nasrin, Austin Lawson, Na Gong, Orlando Rios, Vasileios Maroulas:
A random persistence diagram generator. - Andrea Bucci, Luigi Ippoliti, Pasquale Valentini:
Comparing unconstrained parametrization methods for return covariance matrix prediction. - Alex Stringer:
Automatic differentiation of Box-Cox transformations with application to random effects models for continuous non-normal response.
Volume 32, Number 2, 2022
- Francesco Sanna Passino, Nicholas A. Heard:
Latent structure blockmodels for Bayesian spectral graph clustering. 22 - Panagiotis Papastamoulis, Ioannis Ntzoufras:
On the identifiability of Bayesian factor analytic models. 23 - Andrew A. Manderson, Robert J. B. Goudie:
A numerically stable algorithm for integrating Bayesian models using Markov melding. 24 - Markus Hainy, David J. Price, Olivier Restif, Christopher C. Drovandi:
Optimal Bayesian design for model discrimination via classification. 25 - Michalis K. Titsias, Jakub Sygnowski, Yutian Chen:
Sequential changepoint detection in neural networks with checkpoints. 26 - Martin Eigel, Robert Gruhlke, Manuel Marschall:
Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion. 27 - Sebastian M. Schmon, Philippe Gagnon:
Optimal scaling of random walk Metropolis algorithms using Bayesian large-sample asymptotics. 28 - Christian Molkenthin, Christian Donner, Sebastian Reich, Gert Zöller, Sebastian Hainzl, Matthias Holschneider, Manfred Opper:
GP-ETAS: semiparametric Bayesian inference for the spatio-temporal epidemic type aftershock sequence model. 29 - Tianyu Guan, Zhenhua Lin, Kevin Groves, Jiguo Cao:
Sparse functional partial least squares regression with a locally sparse slope function. 30 - Benoit Kugler, Florence Forbes, Sylvain Douté:
Fast Bayesian inversion for high dimensional inverse problems. 31 - Teemu Säilynoja, Paul-Christian Bürkner, Aki Vehtari:
Graphical test for discrete uniformity and its applications in goodness-of-fit evaluation and multiple sample comparison. 32 - Jarkko Suuronen, Neil K. Chada, Lassi Roininen:
Cauchy Markov random field priors for Bayesian inversion. 33 - Assyr Abdulle, Grigorios A. Pavliotis, Andrea Zanoni:
Eigenfunction martingale estimating functions and filtered data for drift estimation of discretely observed multiscale diffusions. 34
Volume 32, Number 3, June 2022
- Giles Hooker, Han Lin Shang:
Selecting the derivative of a functional covariate in scalar-on-function regression. 35 - Willem van den Boom, Ajay Jasra, Maria De Iorio, Alexandros Beskos, Johan Gunnar Eriksson:
Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo. 36 - Yan Zhong, Jianhua Z. Huang:
Biclustering via structured regularized matrix decomposition. 37 - Hamza M. Ruzayqat, Neil K. Chada, Ajay Jasra:
Multilevel estimation of normalization constants using ensemble Kalman-Bucy filters. 38 - Lucas Kook, Beate Sick, Peter Bühlmann:
Distributional anchor regression. 39 - Antonio Canale, Riccardo Corradin, Bernardo Nipoti:
Importance conditional sampling for Pitman-Yor mixtures. 40 - Giulia Marchello, Audrey Fresse, Marco Corneli, Charles Bouveyron:
Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance. 41 - Christopher C. Drovandi, David T. Frazier:
A comparison of likelihood-free methods with and without summary statistics. 42 - Denishrouf Thesingarajah, Adam M. Johansen:
The node-wise Pseudo-marginal method: model selection with spatial dependence on latent graphs. 43 - Themistoklis Botsas, Lachlan Robert Mason, Indranil Pan:
Rule-based Bayesian regression. 44 - Nick James, Max Menzies:
Optimally adaptive Bayesian spectral density estimation for stationary and nonstationary processes. 45 - John Hughes:
Sklar's Omega: A Gaussian copula-based framework for assessing agreement. 46 - Srijata Samanta, Kshitij Khare, George Michailidis:
A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions. 47 - Jianfeng Lu, Lihan Wang:
Complexity of zigzag sampling algorithm for strongly log-concave distributions. 48 - Antoine Brochard, Bartlomiej Blaszczyszyn, Sixin Zhang, Stéphane Mallat:
Particle gradient descent model for point process generation. 49 - Michael Minyi Zhang, Sinead A. Williamson, Fernando Pérez-Cruz:
Accelerated parallel non-conjugate sampling for Bayesian non-parametric models. 50 - Jiaqi Gu, Philip L. H. Yu:
Joint latent space models for ranking data and social network. 51 - Benjamin G. Stokell, Rajen Dinesh Shah:
High-dimensional regression with potential prior information on variable importance. 52 - Salvatore D. Tomarchio, Antonio Punzo, Antonello Maruotti:
Parsimonious hidden Markov models for matrix-variate longitudinal data. 53
Volume 32, Number 4, August 2022
- Marina Meila, Annelise Wagner, Christopher Meek:
Recursive inversion models for permutations. 54 - Alexander Tristan Maximilian Fisch, Lawrence Bardwell, Idris A. Eckley:
Real time anomaly detection and categorisation. 55 - Vasyl Hafych, Philipp Eller, Oliver Schulz, Allen Caldwell:
Parallelizing MCMC sampling via space partitioning. 56 - Jingnan Zhang, Junhui Wang:
Identifiability and parameter estimation of the overlapped stochastic co-block model. 57 - Wei Deng, Guang Lin, Faming Liang:
An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization. 58 - Haoxin Zhuang, Liqun Diao, Grace Yi:
Polya tree-based nearest neighborhood regression. 59 - Andrew D. Davis, Youssef M. Marzouk, Aaron Smith, Natesh S. Pillai:
Rate-optimal refinement strategies for local approximation MCMC. 60 - Luca Merlo, Antonello Maruotti, Lea Petrella, Antonio Punzo:
Quantile hidden semi-Markov models for multivariate time series. 61 - Mabel Morales-Otero, Virgilio Gómez-Rubio, Vicente Núñez-Antón:
Fitting double hierarchical models with the integrated nested Laplace approximation. 62 - Zuheng Xu, Trevor Campbell:
The computational asymptotics of Gaussian variational inference and the Laplace approximation. 63 - Stéphane Girard, Gilles Stupfler, Antoine Usseglio-Carleve:
On automatic bias reduction for extreme expectile estimation. 64 - Daniel Paulin, Ajay Jasra, Alexandros Beskos, Dan Crisan:
A 4D-Var method with flow-dependent background covariances for the shallow-water equations. 65 - Baris Alparslan, Sinan Yildirim:
Statistic selection and MCMC for differentially private Bayesian estimation. 66 - Frank Rotiroti, Stephen G. Walker:
Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities. 67
Volume 32, Number 5, October 2022
- Alex Sharp, Ryan P. Browne:
A joint latent factor analyzer and functional subspace model for clustering multivariate functional data. 68 - Nan Zhang, Muye Nanshan, Jiguo Cao:
A Joint estimation approach to sparse additive ordinary differential equations. 69 - Lucas Kock, Nadja Klein, David J. Nott:
Variational inference and sparsity in high-dimensional deep Gaussian mixture models. 70 - Sabrina Sixta, Jeffrey S. Rosenthal:
Convergence rate bounds for iterative random functions using one-shot coupling. 71 - Hanwen Xing:
Improving bridge estimators via f-GAN. 72 - Isa Marques, Thomas Kneib, Nadja Klein:
A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes. 73 - Suman Majumder, Yawen Guan, Brian J. Reich, Arvind K. Saibaba:
Kryging: geostatistical analysis of large-scale datasets using Krylov subspace methods. 74 - Ben Sherwood, Shaobo Li:
Quantile regression feature selection and estimation with grouped variables using Huber approximation. 75 - Cunjie Lin, Nan Qiao, Wenli Zhang, Yang Li, Shuangge Ma:
Default risk prediction and feature extraction using a penalized deep neural network. 76 - Marco Scutari, Francesca Panero, Manuel Proissl:
Achieving fairness with a simple ridge penalty. 77 - Benjamin J. Zhang, Youssef M. Marzouk, Konstantinos Spiliopoulos:
Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics. 78 - Alexandre Constantin, Mathieu Fauvel, Stéphane Girard:
Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series. 79 - Jimmy Olsson, Tatjana Pavlenko, Felix L. Rios:
Sequential sampling of junction trees for decomposable graphs. 80 - Piergiacomo Sabino:
Exact simulation of normal tempered stable processes of OU type with applications. 81 - Yiolanda Englezou, Timothy W. Waite, David C. Woods:
Approximate Laplace importance sampling for the estimation of expected Shannon information gain in high-dimensional Bayesian design for nonlinear models. 82 - Jérôme-Alexis Chevalier, Tuan-Binh Nguyen, Bertrand Thirion, Joseph Salmon:
Spatially relaxed inference on high-dimensional linear models. 83 - Xitong Liang, Samuel Livingstone, Jim E. Griffin:
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection. 84 - Florence Forbes, Hien Duy Nguyen, TrungTin Nguyen, Julyan Arbel:
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors. 85 - Fernando Casas, Jesús María Sanz-Serna, Luke Shaw:
Split Hamiltonian Monte Carlo revisited. 86 - Xiaohao Cai, Jason D. McEwen, Marcelo Pereyra:
Proximal nested sampling for high-dimensional Bayesian model selection. 87 - Tiandong Wang, Jun Yan, Yelie Yuan, Panpan Zhang:
Generating directed networks with predetermined assortativity measures. 91 - Belmiro P. M. Duarte, Anthony C. Atkinson, Nuno M. C. Oliveira:
Optimal designs for dose-escalation trials and individual allocations in cohorts. 92 - Chew-Seng Chee, Byungtae Seo:
Density deconvolution under a k-monotonicity constraint. 93 - Philip Greengard, Michael O'Neil:
Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions. 94
Volume 32, Number 6, December 2022
- Yannis G. Yatracos:
Limitations of the Wasserstein MDE for univariate data. 95 - Swapnil Mishra, Seth R. Flaxman, Tresnia Berah, Harrison Zhu, Mikko Pakkanen, Samir Bhatt:
πVAE: a stochastic process prior for Bayesian deep learning with MCMC. 96 - Linjie Wen, Jinglai Li:
Affine-mapping based variational ensemble Kalman filter. 97 - Leigh Shlomovich, Edward A. K. Cohen, Niall M. Adams:
A parameter estimation method for multivariate binned Hawkes processes. 98 - Xiaoyu Ma, Sylvain Sardy, Nick Hengartner, Nikolai Bobenko, Yen Ting Lin:
A phase transition for finding needles in nonlinear haystacks with LASSO artificial neural networks. 99 - Elena Castilla, María Jaenada, Nirian Martín, Leandro Pardo:
Robust approach for comparing two dependent normal populations through Wald-type tests based on Rényi's pseudodistance estimators. 100 - Michael C. Rendleman, Brian J. Smith, Guadalupe Canahuate, Terry A. Braun, John M. Buatti, Thomas L. Casavant:
Representative random sampling: an empirical evaluation of a novel bin stratification method for model performance estimation. 101 - Jochen Bröcker:
Uniform calibration tests for forecasting systems with small lead time. 102 - Tobias Røikjer, Asger Hobolth, Kasper Munch:
Graph-based algorithms for phase-type distributions. 103 - Fabrizio Laurini, Paul Fearnhead, Jonathan A. Tawn:
Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes. 104 - Chunshan Liu, Daniel R. Kowal, Marina Vannucci:
Dynamic and robust Bayesian graphical models. 105 - Shiyuan He, Hanxuan Ye, Kejun He:
Spline estimation of functional principal components via manifold conjugate gradient algorithm. 106 - Alice Corbella, Simon E. F. Spencer, Gareth O. Roberts:
Automatic Zig-Zag sampling in practice. 107 - Siavash Ameli, Shawn C. Shadden:
Interpolating log-determinant and trace of the powers of matrix bfA + tbfB. 108 - Eric D. Schoen, Pieter T. Eendebak, Alan R. Vazquez, Peter Goos:
Systematic enumeration of definitive screening designs. 109 - Karl L. Hallgren, Nicholas A. Heard, Niall M. Adams:
Changepoint detection in non-exchangeable data. 110
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-14 00:49 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
